Krishnakant Sijariya

Senior Software Engineer

Bengaluru, Karnataka, India15 yrs 3 mos experience

Highly Stable

Key Highlights

Expert in Data Engineering with extensive experience in Fintech.
Proficient in building real-time data processing pipelines.
Strong background in machine learning and recommendation systems.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Machine Learning.

Contact

krishnakant.siz@gmail.com +917797324775 LinkedIn

Skills

Core Skills

CicdDockerData EngineeringApache SparkMachine LearningSoftware Development

Other Skills

Apache KafkaApache MahoutAudio analysisCollaborative filteringData clusteringETLFingerprint extractionGithubHadoopHiveJavaJenkinsMavenRecommendation systemsrpmbuild

Experience

Google

Senior Software Engineer

Oct 2022 – Present · 3 yrs 5 mos · Bengaluru, Karnataka, India

Visa

3 roles

Staff Data Engineer

Sep 2021 – Sep 2022 · 1 yr

CICD | Build and deployment of Github repositories using rpmbuild, Maven and Docker, bypassing enterprise Jenkins.

CICDGithubrpmbuildMavenDockerJenkins

Senior Data Engineer

Promoted

Jan 2016 – Aug 2021 · 5 yrs 7 mos

Debit Transaction Research System | Near realtime Pipeline for parsing and enriching raw transaction data, using the Apache Kafka messaging system.
Debit Processing System - Low Latency Globals | Transaction enrichment pipeline for high volume mini-batches built on Apache Spark and Hadoop.
Spark UDF Utility | Package providing abstraction layer for udf lookup functions in Apache Spark

Apache KafkaApache SparkHadoopData Engineering

Software Engineer

Aug 2015 – Dec 2015 · 4 mos

Building an ETL process for conditional aggregation and enrichment for transaction data using Hive.

ETLHiveData Engineering

Red brick lane

Intern

May 2014 – Jul 2014 · 2 mos · Gurugram, Haryana, India

Recommendation system for TV shows using data clustering techniques and collaborative filtering with Apache Mahout.

Recommendation systemsData clusteringCollaborative filteringApache MahoutMachine Learning

Red brick lane

Intern

May 2013 – Jun 2013 · 1 mo · Gurgaon, India

The primary objective was to create and optimise a core Java library to perform audio analysis and fingerprint extraction for audio recognition. Several algorithms had to be implemented and benchmarked to determine the best candidate for the application.

JavaAudio analysisFingerprint extractionSoftware Development